Evidence map›Paper›PMID 30872570›Full record

ArticleNature communications2019

Social networks and risk of delayed hospital arrival after acute stroke.

Amar Dhand, Douglas Luke, Catherine Lang, Michael Tsiaklides, Steven Feske, Jin-Moo Lee

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Amar DhandDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA. adhand@bwh.harvard.edu.ORCID http://orcid.org/0000-0001-6470-7548
Douglas LukeCenter for Public Health Systems Science, Washington University in St. Louis, St. Louis, 63130, MO, USA.
Catherine LangProgram in Physical Therapy, Washington University School of Medicine, St. Louis, 63108, MO, USA.
Michael TsiaklidesDepartment of Neurology, Washington University School of Medicine, St. Louis, 63110, MO, USA.
Steven FeskeDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA.
Jin-Moo LeeDepartment of Neurology, Washington University School of Medicine, St. Louis, 63110, MO, USA.

Funding

Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI LOWELL, BRADFORD B · 1992 to 2021
$25.0M
Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Genetic Architecture of Acute Human Brain IschemiaR01NS085419 · NINDS · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, LEE, JIN-MOO · 2014 to 2018
$2.8M
Impact of Social Network Structure on Stroke RecoveryK23HD083489 · NICHD · WASHINGTON UNIVERSITY · PI DHAND, AMAR · 2015 to 2020
$750k
NICHD NIH HHS K23 HD083489NIDDK NIH HHS P30 DK046200NIDDK NIH HHS P30 DK092950NIH HHS K23HD083489NIH HHS P30DK046200NIH HHS R01NS085419NINDS NIH HHS R01 NS085419
6 · The paper itself

Abstract

Arriving rapidly to the hospital after a heart attack or stroke is critical for patients to be within time windows for treatment. Prior research in heart attacks has suggested a paradoxical role of the social environment: those who arrive early are surrounded by nonrelatives, while those who arrive late are surrounded by spouses or family members. Here, we used network methods to more deeply examine the influence of social context in stroke. We examined the relationship of personal social networks and arrival time in 175 stroke patients. Our results confirmed the paradox by showing that small and close-knit personal networks of highly familiar contacts, independent of demographic, clinical, and socioeconomic factors, were related to delay. The closed network structure led to constricted information flow in which patients and close confidants, absent outside perspectives, elected to watch-and-wait. Targeting patients with small, close-knit networks may be one strategy to improve response times.

Indexed as

Decision MakingSocial NetworkingAgedCross-Sectional StudiesEmergenciesFemaleHumansMaleMiddle AgedRisk FactorsSocioeconomic FactorsStrokeTime FactorsTime-to-Treatment

Identifiers

PMID30872570
PMCPMC6418151

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.